Title :
A functional-dependencies-based Bayesian networks learning method and its application in a mobile commerce system
Author :
Liao, Stephen Shaoyi ; Wang, Huai Qing ; Li, Q.D. ; Liu, Wei Yi
Author_Institution :
Dept. of Inf. Syst., Hong Kong, China
fDate :
6/1/2005 12:00:00 AM
Abstract :
This paper presents a new method for learning Bayesian networks from functional dependencies (FD) and third normal form (3NF) tables in relational databases. The method sets up a linkage between the theory of relational databases and probabilistic reasoning models, which is interesting and useful especially when data are incomplete and inaccurate. The effectiveness and practicability of the proposed method is demonstrated by its implementation in a mobile commerce system.
Keywords :
belief networks; electronic commerce; inference mechanisms; learning (artificial intelligence); mobile computing; relational databases; functional-dependencies-based Bayesian networks; learning method; mobile commerce system; probabilistic reasoning model; relational databases; third normal form; Bayesian methods; Buildings; Business; Councils; Couplings; Erbium; Learning systems; Power system modeling; Relational databases; Uncertainty; Bayesian network; functional dependency; mobile commerce; probabilistic reasoning model; relational database; Algorithms; Artificial Intelligence; Bayes Theorem; Commerce; Computer Simulation; Decision Support Techniques; Food Industry; Models, Economic; Models, Statistical; Motion; Pattern Recognition, Automated;
Journal_Title :
Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions on
DOI :
10.1109/TSMCB.2005.862492
